Teresa Wu

Personal profile

Education/Academic qualification

PHD, University of Iowa

… → 2001

MS, Beijing University of Aeronautics and Astronautics

… → 1995

BS, Beijing University of Aeronautics and Astronautics

… → 1992

Fingerprint Dive into the research topics where Teresa Wu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Supply chains Engineering & Materials Science

Magnetic Resonance Imaging Medicine & Life Sciences

Ambulances Engineering & Materials Science

Brain Engineering & Materials Science

Concurrent engineering Engineering & Materials Science

Imaging techniques Engineering & Materials Science

Tomography Engineering & Materials Science

Supply chain management Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1999 2019

2854 Citations
30 h-Index
105 Article
37 Conference contribution
4 Chapter
2 Review article
2 More
- 1 Book
- 1 Patent

A dual-mode deep transfer learning (D2TL) system for breast cancer detection using contrast enhanced digital mammograms

Wang, K., Patel, B. K., Wang, L., Wu, T., Zheng, B. & Li, J., Jan 1 2019, In : IISE Transactions on Healthcare Systems Engineering.

Research output: Contribution to journal › Article

Mammography

Learning systems

cancer

Breast Neoplasms

diagnostic

An effective and robust decomposition-ensemble energy price forecasting paradigm with local linear prediction

Qin, Q., Xie, K., He, H., Li, L., Chu, X., Wei, Y. M. & Wu, T., Sep 1 2019, In : Energy Economics. 83, p. 402-414 13 p.

Research output: Contribution to journal › Article

Natural Gas

Time series

Natural gas

Signal processing

Decomposition

Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis

Gao, F., Wu, T., Chu, X., Yoon, H., Xu, Y. & Patel, B., Jan 1 2019, In : IEEE Journal of Biomedical and Health Informatics.

Research output: Contribution to journal › Article

Medical imaging

Diagnostic Imaging

Neuroimaging

Neural networks

Precision Medicine

ENTRNA: A framework to predict RNA foldability

Su, C., Weir, J. D., Zhang, F., Yan, H. & Wu, T., Jul 3 2019, In : BMC bioinformatics. 20, 1, 373.

Research output: Contribution to journal › Article

Open Access

RNA

Predict

Folding

Structure Prediction

Data-driven

Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI

Gaw, N., Hawkins-Daarud, A., Hu, L. S., Yoon, H., Wang, L., Xu, Y., Jackson, P. R., Singleton, K. W., Baxter, L. C., Eschbacher, J., Gonzales, A., Nespodzany, A., Smith, K., Nakaji, P., Mitchell, J. R., Wu, T., Swanson, K. R. & Li, J., Dec 1 2019, In : Scientific reports. 9, 1, 10063.

Research output: Contribution to journal › Article

Open Access

Glioblastoma

Cell Count

Magnetic Resonance Imaging

Neoplasms

Machine Learning